Position Control of Ultrasonic Motor Using IMC-PID Combined with Tribes Type NN Algorithm
Keyword(s):
In this paper, we propose a novel scheme of IMC-PID control combined with a tribes type neural network (NN) for the position control of ultrasonic motor (USM). In this method, the NN controller is employed for tuning the parameter in IMC-PID control. The weights of NN are designed to be updated by the tribes-particle swarm optimization (PSO) algorithm. This method makes it possible to compensate for the characteristic changes and nonlinearity of USM. The parameter-free tribes-PSO requires no information about the USM beforehand; hence its application overcomes the problem of Jacobian estimation in the conventional back propagation (BP) method of NN. The effectiveness of the proposed method is confirmed by experiments.
2018 ◽
Vol 16
(1)
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pp. 72-81
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2013 ◽
Vol 333-335
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pp. 1384-1387
2013 ◽
Vol 427-429
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pp. 1048-1051
2013 ◽
Vol 477-478
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pp. 368-373
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2021 ◽
Vol 1775
(1)
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pp. 012009